Disentangling the neurological basis of chronic ocular pain using clinical, self-report, and brain imaging data: use of K-means clustering to explore patient phenotypes Article Swipe
Scott A. Holmes
,
Nicholas Reyes
,
Jaxon J. Huang
,
Anat Galor
,
Pradip M. Pattany
,
Elizabeth R. Felix
,
Eric A. Moulton
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3389/fneur.2023.1265082
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3389/fneur.2023.1265082
Introduction The factors that mediate the expression of ocular pain and the mechanisms that promote chronic ocular pain symptoms are poorly understood. Central nervous system involvement has been postulated based on observations of pain out of proportion to nociceptive stimuli in some individuals. This investigation focused on understanding functional connectivity between brain regions implicated in chronic pain in persons reporting ocular pain symptoms. Methods We recruited a total of 53 persons divided into two cohorts: persons who reported no ocular pain, and persons who reported chronic ocular pain, irrespective of ocular surface findings. We performed a resting state fMRI investigation that was focused on subcortical brain structures including the trigeminal nucleus and performed a brief battery of ophthalmological examinations. Results Persons in the pain cohort reported higher levels of pain symptoms relating to neuropathic pain and ocular surface disease, as well as more abnormal tear metrics (stability and tear production). Functional connectivity analysis between groups evinced multiple connections exemplifying both increases and decreases in connectivity including regions such as the trigeminal nucleus, amygdala, and sub-regions of the thalamus. Exploratory analysis of the pain cohort integrating clinical and brain function metrics highlighted subpopulations that showed unique phenotypes providing insight into pain mechanisms. Discussion Study findings support centralized involvement in those reporting ocular-based pain and allude to mechanisms through which pain treatment services may be directed in future research.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3389/fneur.2023.1265082
- https://www.frontiersin.org/articles/10.3389/fneur.2023.1265082/pdf?isPublishedV2=False
- OA Status
- gold
- Cited By
- 4
- References
- 48
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4388728520
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4388728520Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3389/fneur.2023.1265082Digital Object Identifier
- Title
-
Disentangling the neurological basis of chronic ocular pain using clinical, self-report, and brain imaging data: use of K-means clustering to explore patient phenotypesWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
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2023Year of publication
- Publication date
-
2023-11-16Full publication date if available
- Authors
-
Scott A. Holmes, Nicholas Reyes, Jaxon J. Huang, Anat Galor, Pradip M. Pattany, Elizabeth R. Felix, Eric A. MoultonList of authors in order
- Landing page
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https://doi.org/10.3389/fneur.2023.1265082Publisher landing page
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https://www.frontiersin.org/articles/10.3389/fneur.2023.1265082/pdf?isPublishedV2=FalseDirect link to full text PDF
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YesWhether a free full text is available
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-
goldOpen access status per OpenAlex
- OA URL
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https://www.frontiersin.org/articles/10.3389/fneur.2023.1265082/pdf?isPublishedV2=FalseDirect OA link when available
- Concepts
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Chronic pain, Medicine, Neuroscience, Neuroimaging, Cluster analysis, Clinical phenotype, Physical medicine and rehabilitation, Phenotype, Psychology, Artificial intelligence, Computer science, Biology, Gene, BiochemistryTop concepts (fields/topics) attached by OpenAlex
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4Total citation count in OpenAlex
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2025: 4Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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